Update app.py

app.py

@@ -18,7 +18,6 @@ llm_english       = safe_client("E-motionAssistant/TherapyEnglish")
 tts_client         = safe_client("E-motionAssistant/Space3")
 
 def main_orchestrator(audio_input, text_input, history):
-    # If history is None, initialize it
     if history is None:
         history = []
 
@@ -32,40 +31,25 @@ def main_orchestrator(audio_input, text_input, history):
     except:
         emotion = "Neutral"
 
-    # 2. THE STRICT MESSAGE FIX (This stops the "Data Incompatible" error)
-    # Convert simple history [[u,b]] to strict Gradio 5/6 api_history
+    # 2. FORMAT FOR SUB-SPACE (STRICT DICTIONARY)
+    # Even if our UI is old, our sub-space (TherapyEnglish) needs the new format
     api_history = []
     for u, b in history:
-        api_history.append({
-            "role": "user", 
-            "content": [{"type": "text", "text": str(u)}]
-        })
-        api_history.append({
-            "role": "assistant", 
-            "content": [{"type": "text", "text": str(b)}]
-        })
+        api_history.append({"role": "user", "content": [{"type": "text", "text": str(u)}]})
+        api_history.append({"role": "assistant", "content": [{"type": "text", "text": str(b)}]})
 
-    # Prepare the current message as a content block list
     bundled_text = f"Context: User is {emotion}. Message: {text_input}"
-    current_message = {
-        "role": "user", 
-        "content": [{"type": "text", "text": bundled_text}]
-    }
+    current_message = {"role": "user", "content": [{"type": "text", "text": bundled_text}]}
 
     # 3. CALL LLM
     try:
-        # We send the strictly formatted current_message and api_history
         response = llm_english.predict(
             message=current_message,
             history=api_history,
             api_name="/chat"
         )
     except Exception as e:
-        # Fallback for LLMs that might still want simple strings
-        try:
-            response = llm_english.predict(message=bundled_text, history=history, api_name="/chat")
-        except:
-            response = f"LLM Error: {str(e)}"
+        response = f"LLM Error: {str(e)}"
 
     # 4. TTS LOGIC
     audio_res = None
@@ -75,12 +59,10 @@ def main_orchestrator(audio_input, text_input, history):
     except:
         audio_res = None
 
-    # 5. UPDATE HISTORY
-    # Return as list of lists for the UI Chatbot
+    # 5. UPDATE HISTORY (Simple list of lists for old Gradio UI)
     history.append([text_input, response])
     return history, audio_res
 
-# --- UI ---
 with gr.Blocks() as demo:
     state = gr.State([])
     with gr.Row():
@@ -89,11 +71,10 @@ with gr.Blocks() as demo:
             text_in = gr.Textbox(label="Message")
             btn = gr.Button("Send")
         with gr.Column():
-            # type="messages" creates the dictionary format seen in your docs
+            # REMOVED type="messages" to stop the crash
             chatbot_ui = gr.Chatbot(label="Therapy History") 
             audio_out = gr.Audio(autoplay=True)
 
     btn.click(main_orchestrator, [audio_in, text_in, state], [chatbot_ui, audio_out])
 
-# Launch with ssr_mode=False if you see flickering
 demo.launch()